Some of our past and currents consulting clients include:

The Black Tux

After leading the Data & Analytics team for 2 years and building out its core analytics capabilities, we’ll now be focused on taking TBT to the next stage of a data-driven organization.

Some of our favorite projects:

  • Machine-learned Fit Algorithm (Python, xgboost) (see
  • Inventory Forecasting Monte-Carlo Simulation (PyMC3)
  • Probabilistic Demand Planning Model
  • Marketing attribution modeling
  • Interactive dashboards in Tableau/Periscope/Mode
  • ETL pipelines in Airflow/Python and dbt
  • Data Warehouse v1 in Redshift
  • Data Warehouse Migration to Snowflake


As part of the Content Programming team, our work focused primarily on partnering with the Originals team on building analytical tools to help drive programming and content acquisition decisions for Netflix Originals. This included:

  • Business & Data Analytics using Teradata, Hive/Pig/Amazon EMR, Amazon Redshift, Presto
  • Business Intelligence/Data Visualization with Tableau, MicroStrategy, matlplotlib, seaborn
  • Data Engineering for petabyte data warehouses with hive/pig and Python Jupyter/IPython Notebook
  • Custom data and reporting products using Python/pandas

California Pizza Kitchen

  • Full life-cycle data warehouse development, including data model, ETL procedures, BI schema and reporting layer
  • Automated Flash P&L from operational (POS) data
  • Financial and inventory reporting built on near-realtime data feeds from ERP/GL systems
  • Daily operational dashboards and pixel-perfect reports.

Universal Studios Hollywood

  • Business Requirements, ETL and Automated Reporting for Theme Park Operations Data Warehouse, using MicroStrategy and SQL Server 2005/SSIS ETL
  • Streamlined internal financial management, budgeting & forecasting processes